Bioaccumulation of β-methylamino-L-alanine (BMAA) by mussels exposed to the cyanobacteria Microcystis aeruginosa.

Environ Pollut

Hyphenated Mass Spectrometry Laboratory, Faculty of Science, The University of Technology Sydney, Ultimo, NSW, 2007, Australia. Electronic address:

Published: December 2024

AI Article Synopsis

  • Cyanobacterial blooms produce toxins like β-methylamino-L-alanine (BMAA), raising health concerns linked to neurodegenerative diseases.
  • A laboratory study exposed Australian freshwater mussels to the BMAA-producing cyanobacterium, Microcystis aeruginosa, and developed a method to accurately measure BMAA levels as low as 0.4 ng/g.
  • The study found that mussels accumulated BMAA over time but quickly cleared the toxin once exposure stopped, suggesting they could serve as effective bioindicators for monitoring BMAA levels in the environment.

Article Abstract

Cyanobacterial blooms are increasingly common in aquatic environments, raising concerns about the health impacts associated with the toxins they produce. One of these toxins is β-methylamino-L-alanine (BMAA), a neurotoxin linked to neurodegenerative diseases. Monitoring BMAA levels in the environment is challenging due to trace concentrations and complex matrices, and new approaches are needed for assessing exposure risk. In this laboratory study, Australian freshwater mussels, Velesunio ambiguus, were exposed to a BMAA-producing cyanobacterium, Microcystis aeruginosa, to assess its accumulation of the toxin over time. A sample preparation and analysis method was developed to allow accurate quantification of BMAA in the mussels at concentrations as low as 0.4 ng/g. Mussels exposed to M. aeruginosa accumulated BMAA, with concentrations increasing over the exposure period. Rapid depuration occurred after exposure to the cyanobacterium ended, with concentrations of BMAA quickly returning to pre-exposure levels. These results demonstrate the potential for mussels to be used as bioindicators in the field for monitoring BMAA levels over time, where rapid depuration is unlikely.

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Source
http://dx.doi.org/10.1016/j.envpol.2024.125081DOI Listing

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